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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset,…
Staff ML Engineer at Plenful sets the technical direction for production AI agents that automate healthcare back-office work, staying hands-on as an IC: owning LLM/VLM post-training, evaluation strategy, and MLOps. Core stack: Python, PyTorch, LangGraph, RAG/vector search, vLLM, Docker, Kubernetes, MLflow.
Чем предстоит заниматься: Проектирование, развёртывание и развитие инфраструктуры платформы искусственного интеллекта (on‑prem и облако): Kubernetes‑кластеры, GPU‑ноды, storage, сети, безопасность; Построение и…
Senior AI Engineer at Zeroport (Herzliya) building a production autonomous AI agent that monitors up to 200 video streams from hardware-isolated remote-access systems inside air-gapped customer networks. Day-to-day: agent systems (memory, retrieval), edge multimodal inference on NVIDIA hardware, and Python/Postgres backend infrastructure.
Architects and operates the AI 'plumbing' for Intelligence Community and DoD missions: a Kubernetes-based platform providing unified access to frontier models (Claude, GPT) and local inference (vLLM). Day to day: GitLab CI/CD, ArgoCD GitOps, Helm, Terraform on Azure/AWS, plus MLOps pipelines and securing GPU-enabled AI workloads.
Principal Machine Learning Engineer at Doctolib in Paris designs and standardizes AI/ML systems across healthcare applications, focusing on LLMs, agentic solutions, and regulatory compliance.
A co-op researcher at Huawei's Noah's Ark AI lab in Edmonton conducts cutting-edge research on LLM post-training, reinforcement learning, reasoning, and agentic coding — owning problems end-to-end from hypothesis to large-scale experiments, and building scalable GPU training, inference, and agent-evaluation infrastructure. Core stack: Python, PyTorch, and distributed LLM frameworks like vLLM, SGLa
Десятилетиями мы создаем инновационные продукты и комплексные решения из стали. Проходим весь цикл: от добычи и переработки сырья до выпуска и продажи готовой продукции. Нас 50 000, и каждый ежедневно вносит свои идеи,…
RITS Group to firma informatyczna, która oferuje najwyższej jakości usługi programistyczne zarówno dla rynku polskiego, jak i międzynarodowego. Jesteśmy dumni, że należymy do grona najszybciej rozwijających się spółek…
Job title: Machine Learning Engineer – Lumen Enterprise Models (SWE-focused LLMs) Location: London; full in-office working as default Start date: ASAP Reports to: CEO Compensation: Salary and Equity options available…
About Featherless is building the world's most reliable open-model inference platform. Backed by AMD, Airbus Ventures, 500 Global, Kickstart Ventures, HF0 Residency, Panache Ventures, and Oakseed Ventures,…
Machine Learning Engineer at Rostelecom who plans LLM-based application architectures, builds ML backends and microservices, and optimizes inference performance. Core stack: Python, FastAPI, Docker, CI/CD, SQL, plus NLP/LLM/RAG tooling and inference optimizers like ONNX, OpenVINO, TensorRT, and vLLM.
«ПМХ-ИНФОТЕХ» - аккредитованная IT компания, которая разрабатывает, внедряет, адаптирует и сопровождает корпоративные информационные системы, специализированные IT-решения и развитие информационной инфраструктуры…
Netcraft is hiring a machine learning engineer to build, train and serve classifiers that detect phishing sites and online scams, deploying models (including LLM inference) on GPU-backed Kubernetes and measuring them against live attack traffic. Core stack includes ML/LLM tooling (vLLM), Go, Perl, Kubernetes and SQL.
Senior engineer at Tango, a live-streaming platform with 450M+ users, who owns AI features end to end — building with frontier LLMs (retrieval, agents, fine-tuning) and training custom models (moderation, ranking, audio/vision) using Python, PyTorch and GPUs on GCP, then serving them in production under latency and cost budgets.
MLOps engineer on SOGAZ's internal AI center team building a product ML platform with generative AI assistants and classic ML models. Day to day: designing AI system architecture, running GPU clusters and schedulers, CI/CD for models via GitLab CI, deploying and optimizing LLM/inference servers, and monitoring production models. Full office role in Moscow.
部门介绍： 阿里巴巴国际商业数字供应链和定价算法团队专注于海外零售供应链的建设与优化，业务覆盖全球，支持千亿级零售行业及亿级商品。我们构建智能决策体系，提升供应链效率、降低成本，并优化经营决策与消费者体验。团队运用大数据、人工智能和仿真技术，解决商业现实问题，重塑海外零售体系，创造社会价值。加入我们，您将与优秀团队合作，探索前沿算法技术，迎接零售与供应链优化的挑战，共创海外数字零售未来！ 职位描述 1.…
Ozon Банк — компания, в которой тесно переплетаются финансы и IT. Мы создаём новые для рынка продукты и сервисы для физических и юридических лиц. Гордимся атмосферой в командах: каждый сотрудник может влиять на…
ABOUT UNIVERS Univers combines global operating scale, deep industrial intelligence, and recognition from the institutions shaping energy, technology, and sustainability. The platforms built for the last decade were…
AI macht uns schneller. Das Denken nimmt sie uns nicht ab. Was AI produziert, überprüfen wir. Für alles, was rausgeht, stehen wir gerade. Beim Ausprobieren sind wir schnell, beim Ausliefern gründlich. Du liest ein…
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